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International Journal of Electrical and Computer Engineering
Published by Institute of Advanced Engineering and Science
ISSN : 20888708     EISSN : 27222578     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
International Journal of Electrical and Computer Engineering (IJECE, ISSN: 2088-8708, a SCOPUS indexed Journal, SNIP: 1.001; SJR: 0.296; CiteScore: 0.99; SJR & CiteScore Q2 on both of the Electrical & Electronics Engineering, and Computer Science) is the official publication of the Institute of Advanced Engineering and Science (IAES). The journal is open to submission from scholars and experts in the wide areas of electrical, electronics, instrumentation, control, telecommunication and computer engineering from the global world.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 18 Documents
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Search results for , issue "Vol 3, No 3: June 2013" : 18 Documents clear
Design of High performance and Low power Simultaneous Multi-Threaded Processor Krishan Arora; Paramveer Singh Gill; Parul Mehra
International Journal of Electrical and Computer Engineering (IJECE) Vol 3, No 3: June 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (233.117 KB)

Abstract

In this paper, we present the design of a High Performance Multi-Threaded Processor. Processing of high quality images is inevitable in applications such as, HD TV, Gaming Multimedia, etc. which require a great processing power with low power consumption. This can be achived with multi-threaded processors which optimally utilises the Functional Units (Fus). The speed of processing is as good as multi-core processors with lesser area. A conflict resolver (CR) is designed for scheduling the instructions, which involves allocation of Fu. The data move instructions are in majority in any of the programs; the corresponding logic blocks are replicated and speed of execution is further improved. We illustrated for two-threaded processorHowever, it is possible to extend the design for any number of threads by suitably redesigning the CR, and also replicate Transfer Logic and CPU Registers.DOI:http://dx.doi.org/10.11591/ijece.v3i3.2530
A Circuit Model to an Encoche Coplanar Antenna for a Radio Frequency Identification TAG Abdelhak Ferchichi; Ali Gharsallah
International Journal of Electrical and Computer Engineering (IJECE) Vol 3, No 3: June 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

In this paper, Miniature Encoche Coplanar antennas are proposed. Tovalidate our structure and to develop an analytic method to determine thegeometry parameters, the Lumped theory is used. The proposed structure issimulated using ADS and then Compared to the electrical Model. Theproposed circuit has the same resonant aspect when comparing to theEncoche antenna with a much reduced simulation time. The compactcoplanar antenna has a box with a size of 36*52*0.2 mm3. This antenna willbe designed to an RFID TAG that resonates on 2.45 GHz.DOI:http://dx.doi.org/10.11591/ijece.v3i3.2579
Non Integer Identification of Rotor Skin Effect in Induction Machines Abdelhamid Jalloul; Khaled Jelassi; Jean-Claude Trigeassou
International Journal of Electrical and Computer Engineering (IJECE) Vol 3, No 3: June 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Fractional identification of rotor skin effect in induction machines is presented in this paper. Park‘s transformation is used to obtain a system of differential equations which allows to include the skin effect in the rotor bars of asynchronous machines. A transfer function with a fractional derivative order has been selected to represent the admittance of the bar by the help of a non integer integrator which is approximated by a J+1 dimensional modal system. The machine parameters are estimated by an output-error technique using a non linear iterative optimization algorithm. Experimental results show the performance of the modal approach for modeling and identification.DOI:http://dx.doi.org/10.11591/ijece.v3i3.2286
Analysis of Noise Sensitivity of Different ECG Detection Algorithms A. B. M. Aowlad Hossain; M. A. Haque
International Journal of Electrical and Computer Engineering (IJECE) Vol 3, No 3: June 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

This paper presents an analysis of noise sensitivities of different detection algorithms for electrocardiogram (ECG) taken from MIT-BIH arrhythmia database. Seven methods used in this paper are based on derivatives, digital filters (DF), neural network (NN) and wavelet transform (WT). The raw ECG is corrupted with 5 different types of synthesized noise, namely, power line interference, base line drift due to respiration, abrupt baseline shift, electromyogram (EMG) interference and a composite noise made from other types. A total of 315 data sets are constructed from 15 raw data sets for each type of noise adding 0%, 25%, 50%, 75% and 100% noise levels. The application of the methods to detect QRS complexes of a total of 33,774 beats of ECG shows that none of the algorithms are able to detect all QRS complexes without any false positives for all of the noise types at the highest noise level. Algorithms based on NN and WT show better performance considering all noise types and the two algorithms perform similarly. The result of this study will help to develop a more robust ECG detector and this will make ECG interpretation system more effective.DOI:http://dx.doi.org/10.11591/ijece.v3i3.2516
The Effect of Force on Fingerprint Image Quality and Fingerprint Distortion Lidong Wang
International Journal of Electrical and Computer Engineering (IJECE) Vol 3, No 3: June 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

The purpose of this paper is to investigate fingerprint quality and quality problems due to nonlinear elastic distortion. The effect of force on fingerprint quality was studied using computation and analysis of the correlation coefficient r between the fingerprint quality score and force. The correlation analysis results show that fingerprint quality is significantly attributed to force. Based on the U test, a comparative study between male and female students about the fingerprint quality was conducted. At the 0.05 level of significance, there is a significant difference between male and female students in the fingerprint quality of the flat left thumb at a greater force level and in the fingerprint quality of the slap left fingers at all force levels.DOI:http://dx.doi.org/10.11591/ijece.v3i3.2489
Effects of Residual Dispersion on Intra-Channel Cross-Phase Modulation Induced Phase Fluctuation in Dispersion Managed Line Nitu Syed; Tanjib Rubaiyat; Md Taosif Anowar
International Journal of Electrical and Computer Engineering (IJECE) Vol 3, No 3: June 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (554.016 KB)

Abstract

The effects of residual dispersion on intra-channel cross-phase modulation (IXPM) induced phase perturbation in optical RZ pulse propagating in a periodically dispersion managed (DM) transmission line are investigated in this work. Using perturbed variational formulation, we have obtained several ordinary differential equations for various pulse parameters. These equations have been solved to identify phase perturbation in the DM cell of the system. Full numerical simulation of the nonlinear Schrodinger equation has been employed to identify effects of nonlinear phase fluctuation on pulse propagation and to investigate the intra-pulse interaction. The analytical result is verified by numerical simulation based on split-step Fourier method (SSFM). We therefore explore the effects of various parameters such as transmission distance, input power, duty cycle, and bit-rate on phase fluctuation for different single channel transmission models. Simulation results confirm significant improvement in the phase fluctuations due to IXPM by using dispersion managed line having some residual dispersion compared to perfect dispersion compensation. The outcome of our work is to explore the performance of the DM system with respect to some residual dispersion so that the IXPM induced phase fluctuations remain low.DOI:http://dx.doi.org/10.11591/ijece.v3i3.2526
Retinal Identification and Connecting this Information to Electronic Health Record Farnaz Farshchian; Ebrahim Parcham; Shahram Tofighi
International Journal of Electrical and Computer Engineering (IJECE) Vol 3, No 3: June 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

This paper aims at identification of individuals using the retinal image that the extraction of blood vessels based on density classification and identification is carried out according to the Fuzzy logic and then according to the performed operations of individual’s electronic healthrecord. For this purpose, a new algorithm was presented for extraction of specific characteristics of retina based on image analysis and statistic calculations. Extraction of eye blood vessels is carried out based on adaptive filters. Our proposed method in comparison to previous methods which merely have carried out the identification through individually comparison of retina has a higher accuracy and speed. This distinction in the identification accuracy and speed was used in the type of classification and Fuzzy rules. In this paper, we will cluster the image noise at the first stage and at the end of clustering, two classes of noise and the original image will remain. This clustering will be done using the density method of Density-Based Clustering. Then we will extract the eye vessels using adaptive filters. After identifying classes and eye vessels extraction, we will identify the image of the retina under experiment based on the five-stage Fuzzy logic and rules and extract the individual’s file.DOI:http://dx.doi.org/10.11591/ijece.v3i3.2520
Implementation of Electronic Nose in Omni-directional Robot Harianto Harianto; Muhammad Rivai; Djoko Purwanto
International Journal of Electrical and Computer Engineering (IJECE) Vol 3, No 3: June 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (699.925 KB)

Abstract

Electronic nose (E-nose) is a device detecting odors which is designed to resemble the ability of the human nose. E-nose can identifying chemical elements that contained in the odors. E-nose is made of arrays of gas sensor, each of it could detect certain chemical element. When detects gases, each sensor will generate a specific pattern for each gas. These patterns could be classified using neural network algorithm. Neural network is a computational method based on mathematical models which has the structure and operation of neural networks which imitate the human brain. Neural network consists of a group of neurons conected to each other with a connection named weight. The weights will determine wether neural networks could compute given inputs to produce a specified output. To generate the appropriate weight, the neural network needs to be trained using a number of gasoline and alcohol samples. The training process to generate appropriate weights is done by using back propagation algorithm on a personal computer. The appropriate weight then transferred to omni-directional robot equipped with e-nose. The result shows that the robot could identify the trained gas.DOI:http://dx.doi.org/10.11591/ijece.v3i3.2531

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